Unmanufactured tobacco — Gross Production Value in Malaysia
Malaysia: Unmanufactured tobacco — Gross Production Value was 1,355 1000 SLC in 2024. ◆ Volatile
Unmanufactured tobacco — Gross Production Value in Malaysia, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 SLC.
Analysis
Malaysia recorded 1,355 1000 SLC for unmanufactured tobacco — gross production value in 2024.
That represents a change of down 27.3% on the previous year and down 95.5% over ten years.
Over the whole period, unmanufactured tobacco — gross production value in Malaysia peaked at 217,778 1000 SLC in 2004 and was at its lowest, 1,241 1000 SLC, in 2022.
That places Malaysia 82nd out of 94 countries with data for 2024, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Unmanufactured tobacco — Gross Production Value in Malaysia, year by year
| Year | 1000 SLC | Change |
|---|---|---|
| 1961 | 22,393 1000 SLC | — |
| 1962 | 27,799 1000 SLC | +24.1% |
| 1963 | 29,113 1000 SLC | +4.7% |
| 1964 | 30,614 1000 SLC | +5.2% |
| 1965 | 28,469 1000 SLC | -7.0% |
| 1966 | 26,125 1000 SLC | -8.2% |
| 1967 | 26,100 1000 SLC | -0.1% |
| 1968 | 23,112 1000 SLC | -11.4% |
| 1969 | 23,620 1000 SLC | +2.2% |
| 1970 | 32,548 1000 SLC | +37.8% |
| 1971 | 48,617 1000 SLC | +49.4% |
| 1972 | 89,237 1000 SLC | +83.6% |
| 1973 | 74,730 1000 SLC | -16.3% |
| 1974 | 94,482 1000 SLC | +26.4% |
| 1975 | 113,874 1000 SLC | +20.5% |
| 1976 | 57,892 1000 SLC | -49.2% |
| 1977 | 90,204 1000 SLC | +55.8% |
| 1978 | 120,272 1000 SLC | +33.3% |
| 1979 | 93,428 1000 SLC | -22.3% |
| 1980 | 117,482 1000 SLC | +25.7% |
| 1981 | 89,274 1000 SLC | -24.0% |
| 1982 | 106,881 1000 SLC | +19.7% |
| 1983 | 107,885 1000 SLC | +0.9% |
| 1984 | 88,741 1000 SLC | -17.7% |
| 1985 | 118,313 1000 SLC | +33.3% |
| 1986 | 176,552 1000 SLC | +49.2% |
| 1987 | 139,714 1000 SLC | -20.9% |
| 1988 | 92,275 1000 SLC | -34.0% |
| 1989 | 171,828 1000 SLC | +86.2% |
| 1990 | 125,901 1000 SLC | -26.7% |
| 1991 | 156,093 1000 SLC | +24.0% |
| 1992 | 190,458 1000 SLC | +22.0% |
| 1993 | 163,935 1000 SLC | -13.9% |
| 1994 | 103,096 1000 SLC | -37.1% |
| 1995 | 174,757 1000 SLC | +69.5% |
| 1996 | 198,554 1000 SLC | +13.6% |
| 1997 | 190,390 1000 SLC | -4.1% |
| 1998 | 189,171 1000 SLC | -0.6% |
| 1999 | 129,993 1000 SLC | -31.3% |
| 2000 | 121,473 1000 SLC | -6.6% |
| 2001 | 140,561 1000 SLC | +15.7% |
| 2002 | 191,457 1000 SLC | +36.2% |
| 2003 | 197,995 1000 SLC | +3.4% |
| 2004 | 217,778 1000 SLC | +10.0% |
| 2005 | 159,954 1000 SLC | -26.6% |
| 2006 | 102,673 1000 SLC | -35.8% |
| 2007 | 109,295 1000 SLC | +6.4% |
| 2008 | 106,331 1000 SLC | -2.7% |
| 2009 | 41,886 1000 SLC | -60.6% |
| 2010 | 53,233 1000 SLC | +27.1% |
| 2011 | 49,389 1000 SLC | -7.2% |
| 2012 | 33,400 1000 SLC | -32.4% |
| 2013 | 7,094 1000 SLC | -78.8% |
| 2014 | 29,961 1000 SLC | +322.3% |
| 2015 | 36,234 1000 SLC | +20.9% |
| 2016 | 37,179 1000 SLC | +2.6% |
| 2017 | 34,458 1000 SLC | -7.3% |
| 2018 | 10,261 1000 SLC | -70.2% |
| 2019 | 2,196 1000 SLC | -78.6% |
| 2020 | 3,574 1000 SLC | +62.8% |
| 2021 | 2,913 1000 SLC | -18.5% |
| 2022 | 1,241 1000 SLC | -57.4% |
| 2023 | 1,863 1000 SLC | +50.1% |
| 2024 | 1,355 1000 SLC | -27.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 26,372 1000 SLC | 22,393 1000 SLC | 30,614 1000 SLC | 9 |
| 1970s | 81,528 1000 SLC | 32,548 1000 SLC | 120,272 1000 SLC | 10 |
| 1980s | 120,894 1000 SLC | 88,741 1000 SLC | 176,552 1000 SLC | 10 |
| 1990s | 162,235 1000 SLC | 103,096 1000 SLC | 198,554 1000 SLC | 10 |
| 2000s | 138,940 1000 SLC | 41,886 1000 SLC | 217,778 1000 SLC | 10 |
| 2010s | 29,340 1000 SLC | 2,196 1000 SLC | 53,233 1000 SLC | 10 |
| 2020s | 2,189 1000 SLC | 1,241 1000 SLC | 3,574 1000 SLC | 5 |
Countries ranked near Malaysia
- 79 Sierra Leone 3,023 1000 SLC compare
- 80 Peru 2,640 1000 SLC compare
- 81 Tajikistan 2,238 1000 SLC compare
- 83 Bosnia and Herzegovina 973 1000 SLC compare
- 84 Senegal 837 1000 SLC compare
- 85 Georgia 712 1000 SLC compare
More agriculture & rural data for Malaysia
- Agriculture, forestry, and fishing, value added (current US$), annual 13.04 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0822 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 1,078 current US$ per person (2025)
- Rural population, annual growth rate -0.913 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.2261 units per person (2025)
- Share of GDP from agriculture 8.2% (2025)
- Agriculture as a share of GDP vs. GDP per capita 8.2% (2025)
- Agricultural raw materials exports 1.1% (2025)
- Agricultural raw materials imports 1.3% (2025)
Frequently asked questions
- What is unmanufactured tobacco — gross production value in Malaysia?
- Unmanufactured tobacco — gross production value in Malaysia was 1,355 1000 SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest unmanufactured tobacco — gross production value recorded in Malaysia?
- The highest recorded value was 217,778 1000 SLC in 2004.
- What is the lowest unmanufactured tobacco — gross production value recorded in Malaysia?
- The lowest recorded value was 1,241 1000 SLC in 2022.
- How does Malaysia rank for unmanufactured tobacco — gross production value?
- Malaysia ranks 82nd out of 94 countries with data for 2024.
- Is unmanufactured tobacco — gross production value rising or falling in Malaysia?
- Over the last ten years it is down 95.5%. The long-run trend across the full record is volatile.
- Where does this Malaysia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Unmanufactured tobacco — Gross Production Value (constant 2014-2016 thousand SLC). Statizoid updates them automatically from the source API.
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About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.